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Platform specific bias was avoided by comparing ranks of expression data (expressed as log tumor/normal) and calculating the geometric means across multiple samples.
Analysis of variance was used to compare means across multiple groups.
Although phrased using different model frameworks, these methods are similar in the spirit of combining the standardized differences between two sample means across multiple studies.
Similar(57)
Ensembles means averaging across multiple models that rely on different data or reweighted data and/or employ different models or methods.
Because we have more than one transect across some hybrid zones (contact zones across the ring), we calculated the frequency of hybrids by pooling individuals and computed means across the multiple transects.
Finally we examined the enrichment, as indicated by the discrimination factor of each ectoparasite species relative to the host tissue consumed (i.e., mean values across multiple breeding sites) (Fig. 2, Table 1).
(Our third year medical students' mean score across multiple validated cases is 75%).
The use of area level socioeconomic data generally reduces the differences between the groups at the ends of the advantaged-disadvantaged spectrum [ 12], but as we are comparing mean values across multiple areas, the aggregated nature of the socioeconomic data is unlikely to have a significant effect on the RAC-E analysis.
Theoretically, and in the discussed simulations, minimum mean AIC is related to best mean predictive performance, where the mean is taken across multiple studies and prespecified models.
Minimum mean AIC is related to minimum mean prediction error, where the mean is taken across multiple studies and prespecified models; this should be borne in mind when analyzing a data set from just one study.
Using a P-value means that predictions across multiple SNPs can be combined into a single ranked list.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com